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Abstract #0641

Multivariate association between brain functional networks and symptoms and psychosocial environment in adolescent depression

Yingxue Gao1, Ruohan Feng2, Yang Li3, Zilin Zhou1, Kaili Liang1, Weijie Bao1, Lihua Zhuo2, Guoping Huang3, and Xiaoqi Huang1,4
1Huaxi MR Research Center (HMRRC), Functional and Molecular Imaging Key Laboratory of Sichuan Province, Department of Radiology, West China Hospital of Sichuan University, Chengdu, China, 2Department of Radiology, Sichuan Mental Health Center, the Third Hospital of Mianyang, Mianyang, China, 3Department of Psychiatry, Sichuan Mental Health Center, the Third Hospital of Mianyang, Mianyang, China, 4Psychoradiology Research Unit of the Chinese Academy of Medical Science , West China Hospital of Sichuan University, Chengdu, China

Synopsis

Keywords: Psychiatric Disorders, fMRI (resting state), DepressionThe current study investigated the multivariate correlations between resting-state functional network connectivity and symptoms and environmental measures in adolescents with major depressive disorder (MDD) using the sparse canonical correlation analysis. We identified one stable association mode which showed primary correlation of environmental stressors, especially the interpersonal stress, with functional connectivity of networks that support salience processing, reward and sensory processing. Based on this brain-behavior association, we were able to categorize adolescents with MDD into two subgroups and delineate how psychosocial factors contributed to the neurobiological mechanism underlying adolescent depression.

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